Psych Quiz 4

Front 1

What is removed from denominator of repeated-measures ANOVA?

Back 1

-differences between people

Front 2

In two factor ANOVA, mean effect is defined as...

Back 2

Mean differences among levels of one factor

Front 3

2 Factor ANOVA shows significant main effect for Factor A, and for Factor B.
We can conclude what about interaction.....

Back 3

NOTHING

Front 4

2 Levels Factor A
3 Levels Factor B
n=10 for all

df values??

Back 4

3-1 = 1

2x3=6, 10-1=9 9X6 = 54

so

Levels B - Levels A
(AxB) x (n-1)

Front 5

Analysis of variance for 2 factor produces how many F-ratios?

Back 5

3 F-Ratios (A, B, AxB)

Front 6

SS(BETWEEN) =

Back 6

SS(A) + SS(B) + SS(AxB)

Front 7

Most important reason for ANOVA instead of multiple t?

Back 7

Multiple t-test --> inflated type 1 error (reject when true)

Front 8

In ANOVA MS provides measure of ....

Back 8

Variance

Front 9

in ANOVA, MS(between) provides measure of...

Back 9

average variability between means

Front 10

Which SS is directly influenced by size of sample variance?

Back 10

SS(within)

Front 11

Which SS is directly influenced by size of sample mean differences?

Back 11

SS(between)

Front 12

In 4 x 9 ANOVA, how many factors?

A x B format, how many?

Back 12

2 Factors (4 and 9)

2 (A and B)

Front 13

How do main effects influence interaction effects?

Back 13

-Significant interaction makes it harder to see main effect in a graph

-Mathematically, significant interaction effect does nothing to main effect

Front 14

Which component remains constant across all F-ratios in two way ANOVA?

Back 14

Overall variance within groups

Front 15

F-value cannot be what kind of number?

Back 15

Negative number

Front 16

Correlation does not imply

Back 16

Causation

Front 17

What does correlation describe

Back 17

Relationship between two variables

Front 18

Limits of Correlation

Back 18

Third variable could be affecting

3rd variable problem

Front 19

NUmerical value called ______to describe relationship in correlation.

How big?

Back 19

Pearson's R

-1 to 1

Front 20

What does Pearson's R describe

Back 20

1. Direction
2. Strength
3. Shape

Front 21

Positive Direction Correlation

Back 21

High X value, High Y value

Gets bigger going to right

Front 22

Negative Direction Correlation

Back 22

Low X Value, High Y value

Gets smaller going to right

Front 23

Strength of correlation is indicated by....

On scatterplot?

Back 23

Magnitiude of pearson's r

-1 to 1

On scatterplot : How loose or tightly clustered

Front 24

Pearson's R of 0 indicates what?

Back 24

No relationship

Front 25

Linear Correlation SHape

Back 25

points vary around a straight line

Front 26

Curvilinear Correlation Shape

Back 26

points vary around curved line

Front 27

Null hypothesis of Correlation

Alternative hypothesis of Correlation

Back 27

H(0): p= 0

H(1) = p does not equal 0

Front 28

When post-hoc test?

Back 28

If levels of a factor with significant main effect is >2

Front 29

What is a main effect?

Back 29

When means are different among levels of factor

Front 30

What is interaction effect?

Back 30

when mean differences between cells in table are different than what would be predicted from overall main effects

Front 31

Interaction in a graph?

Back 31

Interaction = lines intersect
No interaction = lines parallel

Front 32

Mean effect in graph?

Back 32

Distance between lines

Front 33

Numerator/Denominator of F in One-Way ANOVA

Back 33

variance between treatments/variance within treatments


variance between / variance within

Front 34

Hypotheses for One-Way ANOVA

Back 34

H(0) = u(1) = u(2) = u(3) ...all same

H(1) = atleast one differs

Front 35

Variance in One-Way ANOVA

Back 35

MS(between) = treatment effects plus error
MS(within) = error variance

Front 36

k =

Back 36

number of treatment conditions

Front 37

N=

Back 37

number of total scores

Front 38

T=

Back 38

sum of scores in each condition

Front 39

G=

Back 39

grand total of all scores

Front 40

F (ANOVA Test statistics) =
(One way)

Back 40

MSbetween / MSwithin